1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection
He Cheng, Depeng Xu, Shuhan Yuan
Image anomaly detection (IAD) is essential in applications such as industrial inspection, medical imaging, and security. Despite the progress achieved with deep learning models lik…
cs.LG2024
Backdoor Attack against One-Class Sequential Anomaly Detection Models
He Cheng, Shuhan Yuan
Deep anomaly detection on sequential data has garnered significant attention due to the wide application scenarios. However, deep learning-based models face a critical security thr…
cs.LG2022★ 1 cited
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations
He Cheng, Depeng Xu, Shuhan Yuan +1
Anomaly detection in sequential data has been studied for a long time because of its potential in various applications, such as detecting abnormal system behaviors from log data. A…